import numpy as np
import pandas as pd
import folium as fo
%matplotlib inline

map = fo.Map()
map

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popu = pd.read_csv('C:\\Users\\hp\\Desktop\\Programming Software\\Programs\\Python Notes\\241.us+cities+pop.csv')
popu.head()

	name	pop	lat	lon
0	New York	8287238	40.730599	-73.986581
1	Los Angeles	3826423	34.053717	-118.242727
2	Chicago	2705627	41.875555	-87.624421
3	Houston	2129784	29.758938	-95.367697
4	Philadelphia	1539313	39.952335	-75.163789

lat_po = list(popu['lat'])
lan_po = list(popu['lon'])
name_po = list(popu['name'])
pop_po = list(popu['pop'])
po = fo.FeatureGroup(name='My Map')
for lat,lon,name,pop in zip(lat_po,lan_po,name_po,pop_po):
    po.add_child(fo.Marker(location=[lat,lon],popup=[pop,name],icon=fo.Icon(color='blue')))
map.add_child(po)

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lat_po = list(popu['lat'])
lan_po = list(popu['lon'])
name_po = list(popu['name'])
pop_po = list(popu['pop'])
po = fo.FeatureGroup(name='My Map')
def mar(popu):
    if(pop>35000):
        return 'red'
    elif(popu>10000 and popu<=35000):
        return 'blue'
    else:
        return 'green'
for lat,lon,name,pop in zip(lat_po,lan_po,name_po,pop_po):
    po.add_child(fo.Marker(location=[lat,lon],popup=[pop,name],icon=fo.Icon(color=mar(pop))))
map.add_child(po)

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